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Application of multi-agent control systems in energy-efficient intelligent building

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dc.contributor.authorAltayeva, A.-
dc.contributor.authorOmarov, B.-
dc.contributor.authorSuleimenov, Z.-
dc.contributor.authorCho, Y.I.-
dc.date.available2020-02-27T20:42:39Z-
dc.date.created2020-02-12-
dc.date.issued2017-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/6677-
dc.description.abstractThe features provide the required comfort multizone buildings by using the power management multiagent system and comforts. This management system covers all controlled areas of the building and, if necessary, ensures the highest possible overall comfort in a building with a decrease in available electric power. The aim of this work is to develop a comfort control system multispectral building. © 2017 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOfIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems-
dc.subjectBuildings-
dc.subjectClimate control-
dc.subjectControl systems-
dc.subjectEnergy efficiency-
dc.subjectFuzzy systems-
dc.subjectIntelligent buildings-
dc.subjectIntelligent computing-
dc.subjectIntelligent systems-
dc.subjectMulti agent systems-
dc.subjectSoft computing-
dc.subjectElectric power-
dc.subjectEnergy efficient-
dc.subjectHVAC system-
dc.subjectIndoor Microclimate-
dc.subjectManagement systems-
dc.subjectMulti-spectral-
dc.subjectMultiagent control-
dc.subjectThermal process-
dc.subjectElectric power system control-
dc.titleApplication of multi-agent control systems in energy-efficient intelligent building-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.1109/IFSA-SCIS.2017.8023299-
dc.identifier.bibliographicCitationIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems-
dc.identifier.scopusid2-s2.0-85030842066-
dc.citation.titleIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems-
dc.contributor.affiliatedAuthorAltayeva, A.-
dc.contributor.affiliatedAuthorOmarov, B.-
dc.contributor.affiliatedAuthorSuleimenov, Z.-
dc.contributor.affiliatedAuthorCho, Y.I.-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthorHVAC System-
dc.subject.keywordAuthorIndoor Microclimate-
dc.subject.keywordAuthorThermal Process-
dc.subject.keywordPlusBuildings-
dc.subject.keywordPlusClimate control-
dc.subject.keywordPlusControl systems-
dc.subject.keywordPlusEnergy efficiency-
dc.subject.keywordPlusFuzzy systems-
dc.subject.keywordPlusIntelligent buildings-
dc.subject.keywordPlusIntelligent computing-
dc.subject.keywordPlusIntelligent systems-
dc.subject.keywordPlusMulti agent systems-
dc.subject.keywordPlusSoft computing-
dc.subject.keywordPlusElectric power-
dc.subject.keywordPlusEnergy efficient-
dc.subject.keywordPlusHVAC system-
dc.subject.keywordPlusIndoor Microclimate-
dc.subject.keywordPlusManagement systems-
dc.subject.keywordPlusMulti-spectral-
dc.subject.keywordPlusMultiagent control-
dc.subject.keywordPlusThermal process-
dc.subject.keywordPlusElectric power system control-
dc.description.journalRegisteredClassscopus-
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